The Analysis of Fintech Risks in China: Based on Fuzzy Models

Tianlei Pi, Haoxuan Hu, Jingyi Lu and Xue Chen
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Tianlei Pi: School of Economics and Business Administration, Chongqing University, Chongqing 400030, China
Haoxuan Hu: School of Materials Science and Engineering, Chongqing University, Chongqing 400030, China
Jingyi Lu: School of Civil Engineering, Wuhan University, Wuhan 430072, China
Xue Chen: School of Economics and Business Administration, Chongqing University, Chongqing 400030, China

Mathematics, 2022, vol. 10, issue 9, 1-13

Abstract: Fintech has not changed the nature and risk attributes of financial business. Its openness, interoperability, and other characteristics trigger the concealment, infectivity, universality and sudden characteristics of financial risk more obviously, and the potential systemic risk more complexly. This paper adopts fuzzy set analysis to conduct a comprehensive review of Fintech risk. It is found that the technology risk, moral hazard and legal risk, with a weight of up to 80%, are the dominant factors affecting the Fintech risk, while other prominent credit risk, market risk and operational risk in the traditional financial field account for a small proportion, but they still cannot be ignored. The research of this paper enriches the relevant research on the quantification of Fintech risk, and helps to strengthen risk prevention from the aspect of enhancing the safety of Fintech infrastructure, improving the legal system, sound the regulatory framework and strengthening industry self-discipline.

Keywords: Fintech; fuzzy models; fuzzy analytic hierarchy process (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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